In the fight against antibiotic resistance, microbial communities and the resistomes they carry are increasingly important data sources. This field is rapidly advancing, but the big data generated is creating a gap between health sciences and bioinformatics.
On this three-week course from the University of Oslo, you’ll begin to close this gap. With the help of a team of experts, you’ll explore why and how to study resistomes, including hands-on resistome analysis.
The misuse and overuse of antibiotics has accelerated the development and spread of antibiotic resistance, making antibiotics ineffective.
You’ll start by looking at how studies are contributing to the current understanding of drug resistance. Through this examination, you’ll discover the relation between antibiotic use, its lack of target specificity, the void in discovery of new antibiotics, and the current drug resistance crisis.
Microbes develop antibiotic resistance by using instructions from their genes, and there can often be a variety within a microbial community.
This course will guide you through the study of resistomes, exploring the different resistance mechanisms, how drug resistance genes are exchanged among bacteria, how studies are designed, how to handle samples, and how to analyse the data.
Through hands-on exercises and analysis, you’ll be introduced to a real experience of resistome analysis. You’ll use ResistoXplorer, a web-based resource developed at the University of Oslo that doesn’t require advanced bioinformatics skills.
This course will be particularly useful for clinicians, basic research students, and scientists in health-science fields, as well as public health professionals. You may also find it appealing if you work in the field of bioinformatics, with a special interest in strengthening multi-disciplinary collaborations.
You will be invited for a hands-on experience using ResistoXplorer, a free web tool developed at the University of Oslo. The tool works with major modern browsers such as Google Chrome, Mozilla Firefox, Safari, and Microsoft Internet Explorer.